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Experienced Data Engineer

Bechtel Plant Machinery

Monroeville, Pennsylvania

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JOB DETAILS
SKILLS
Analysis Skills, Automation, Business Processes, Communication Skills, Computer Engineering, Computer Science, Cross-Functional, DOE Clearance, Data Analysis, Data Lake, Data Management, Data Modeling, Data Processing, Data Science, Data Sets, Data Storage, Data Structures, Data Warehousing, Database Architecture, Database Extract Transform and Load (ETL), Design Evaluation, Documentation, Graphical User Interface (GUI), Identify Issues, Information Technology & Information Systems, Interpersonal Skills, Knowledge Transfer, Logistics Analysis, Mathematics, Microsoft Excel, Microsoft Office, Microsoft Outlook, Microsoft PowerPoint, Microsoft SQL Server, Microsoft Word, Needs Assessment, Power BI, Predictive Modeling, Presentation/Verbal Skills, Problem Solving Skills, Project Execution, Python Programming/Scripting Language, Quality Management, R Programming Language, Regulatory Compliance, Reporting Dashboards, Requirements Management, Root Cause Analysis, SQL (Structured Query Language), Scalable System Development, Security Clearance, Software Engineering, Statistics, Storage Architecture, Systems Administration/Management, United States Navy (USN), Writing Skills
LOCATION
Monroeville, Pennsylvania
POSTED
30+ days ago
Location: Monroeville, Pennsylvania

Job Title: Experienced Data Engineer

Status: Full-time Professional

Annual Salary Range: $88,000 - $166,300

*Salary commensurate with education and experience.

Job Summary

As a Data Engineer at BPMI, you will work under limited supervision and performs moderately complex critical technical functions to execute the BPMI mission in areas including, but not limited to, driving the adoption of data science and analytics into standard project execution methods and procedures that enhance the organization's operational and engineering outcomes.

In this role, the employee develops scalable data systems that improve the quality, accessibility, and insight of information across BPMI. They collaborate with cross-functional teams to turn business and technical data into actionable solutions that ensure accuracy, consistency, and compliance with standards. Work includes designing and maintaining data pipelines, lakes, warehouses, and reports, as well as preparing and organizing data to support predictive and prescriptive analytics.

Essential Duties:

  • Evaluate and design data pipelines, warehouses, and integration strategies that ensure scalability, reliability, and compliance with BPMI standards.
  • Analyze existing and future datasets for both technical (from system development concepts through the end-of-life system support) and business (business and logistics data analysis) functions.
  • Develop and implement robust extract, transform, and load (ETL) processes to manage data movement across environments.
  • Collaborate with data owners to scope problems and deliver solutions that improve engineering decision making and simplify business processes.
  • Recommend improvements to database architecture and storage solutions based on performance, security, and future scalability needs.
  • Troubleshoot complex data issues, perform root cause analyses, and resolve integration and quality problems proactively.
  • Model and optimize data structures that support analytics, dashboards, and predictive modeling.
  • Create visualization and graphic user interfaces using Power BI or code development.
  • Innovate data engineering practices by introducing automation, orchestration, and monitoring tools that streamline operations.
  • Justify proposed approaches with impact assessments and technical rationale grounded in data analysis and organizational requirements.
  • Create comprehensive documentation to ensure knowledge transfer and consistency across projects.
  • The essential duties identified are representative but are not intended to be an exhaustive or inclusive list of all the responsibilities of the position.

What You Can Expect:

  • A culture that values people through recognition of accomplishments, work-life balance, and a sense of community.
  • A diverse group of talented individuals working toward the common goal of supporting the United States Navy in their pursuit of national security.
  • Competitive and attractive pay and benefits with a stable organization.
  • Opportunities to participate in BPMI sponsored committees and clubs, each with their own mission and purpose.
  • Career advancement and professional development programs.

Minimum Job Requirements:

  • Bachelor's degree in Computer Science, Data Science, Software Engineering, Computer Engineering, Information Systems, or related technical degree from an accredited college or university.
  • A minimum of four (4) years of relevant experience.
  • Twelve (12) or more years of completed education and/or relevant experience may be considered to satisfy educational and years of experience requirements.
  • Requires a security clearance; however, all qualified candidates will be considered regardless of their current clearance status. The ability to obtain and maintain a Department of Energy security clearance is required.

Preferred Job Requirements:

  • Experience with data storage (SQL) and analysis tools (Python, R).
  • Experience working with data warehouses.
  • Knowledge of Microsoft SQL Server tools and Power BI.
  • Demonstrated understanding of math and statistics.
  • Knowledge of Data Lake, and Databricks familiarity are preferred.
  • Experience working with data owners and users to understand the needs of varied stakeholders.
  • Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook, etc.) and role specific applications.
  • Strong interpersonal, verbal, and written communication skills - effectively

About the Company

B

Bechtel Plant Machinery

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